The 120dB Industry Myth—A Moment That Exposed a Crisis of Clarity
It was 2018, and I was seated in a crowded conference room in Hong Kong, surrounded by security integrators and facility managers. The venue smelled of stale coffee and freshly printed product brochures, and the air hummed with anticipation—we were there for the launch of a new camera line from a brand that would later dominate the mid-market segment. The regional manager, a polished speaker in a tailored suit, stood at the front, holding up a sleek camera and projecting a slide that read: “120dB Wide Dynamic Range—See Every Detail, Day or Night.”

When a veteran integrator from Singapore raised his hand and asked, “Can you walk us through how you calculated that 120dB? What test conditions did you use?” the room fell quiet. The manager paused, then laughed nervously. “Honestly, I don’t know. Everyone in the industry uses 120dB, so we do too. It’s what clients expect to see.”
That moment stuck with me like glue. It wasn’t just a throwaway line—it was a window into a deeper problem plaguing the security industry: technical specifications as marketing currency, stripped of their scientific meaning. For years, “120dB WDR” had become a buzzword, a checkbox on datasheets that clients thought they needed, but few understood. At Hector Weyl, where we build cameras for high-stakes environments—banks, airports, critical infrastructure—this lack of clarity wasn’t just frustrating; it was dangerous. A client who buys a camera based on a inflated dB number might end up with a system that fails to identify a suspect at a backlit ATM, or misses a break-in at a warehouse loading dock at sunset.
True expertise, we believe, isn’t just about building better hardware—it’s about educating clients to make informed decisions. Clarity isn’t an add-on to our cameras; it’s the foundation of how we operate. This article cuts through the marketing noise to answer the questions no one else is asking: What really is WDR? Why does the 120dB number persist? How do you measure true WDR performance? And what makes Hector Weyl’s approach different? By the end, you’ll not only understand WDR—you’ll be able to evaluate it like a technical expert.
Part 1: The Problem WDR Solves—Bridging the Gap Between Human Vision and Camera Sensors
The human eye is a biological marvel, evolved over millennia to adapt to extreme light contrasts. Step from a sunlit street into a dim café, and your pupils dilate in milliseconds; glance at the sun, and your retinas adjust to avoid overexposure. Our eyes can perceive detail across a dynamic range of ~20 stops (roughly 120dB)—meaning we can see a star in the night sky (0.0001 lux) and a sunny beach (100,000 lux) without losing detail in either.
Traditional security camera sensors? They’re not so adaptable. Most basic CMOS sensors have a dynamic range of just 6–8 stops (40–50dB)—a fraction of human vision. This creates a critical problem in high-contrast scenarios, where the camera is forced to make a catastrophic choice:
The Two Fatal Compromises of Cameras Without WDR
- Exposing for the shadows: To brighten dark areas (e.g., the interior of a bank ATM booth), the camera uses a slow shutter speed (e.g., 1/30 second) or high ISO (sensitivity to light). This makes the shadowed areas visible—but turns bright areas (e.g., the sunlight streaming through the ATM’s small window) into a featureless white blob. Imagine a suspect approaching the ATM: their face in the shadow is clear, but the license plate of their getaway car outside is completely washed out.
- Exposing for the highlights: To capture detail in bright areas (e.g., the sky above a building entrance), the camera uses a fast shutter (e.g., 1/1000 second) or low ISO. This preserves the sky and any objects outside—but renders the lobby interior as a pitch-black silhouette. A person entering the building becomes an unrecognizable dark shape; you can’t see their face, their clothing, or whether they’re carrying a bag.
This isn’t a “nice-to-have” problem—it’s a security failure. Consider a 2022 incident at a retail store in Chicago: the store’s cameras, without true WDR, exposed for the sunlit windows, turning the checkout area into a shadow. When a shoplifter stole a $2,000 laptop, the footage showed only a dark figure—no facial features, no clothing details. The police couldn’t identify the suspect, and the store absorbed the loss.
Key Application Scenarios: Where WDR Isn’t Optional—It’s Essential
True WDR is critical for any environment where light contrasts exceed 80dB (the limit of basic cameras). Below are the most common high-stakes scenarios where WDR makes or breaks security:
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Bank ATMs & Drive-Thrus: A camera mounted inside the ATM booth must capture the user’s face (in dim artificial light) while also the license plate of their car (in direct sunlight). A 120dB WDR camera can handle this 1,000,000:1 light ratio; a basic camera will fail one or both.

- Building Entrances & Lobbies: Glass doors and large windows create “backlight” scenarios—sunlight streaming in from outside, while the lobby is lit by overhead LEDs. Without WDR, anyone entering the building becomes a silhouette. A luxury hotel in Dubai switched to Hector Weyl’s WDR cameras in 2023 and reported a 40% increase in actionable footage (e.g., identifying guests who left bags unattended).
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Retail Stores (Window Displays & Checkouts): Sunlight through storefront windows can create harsh glare on products, while checkout counters are lit by under-cabinet LEDs. A clothing store in London used dWDR (software-only WDR) cameras and struggled to identify shoplifters hiding merchandise in shadowed fitting rooms; after upgrading to Hector Weyl’s true WDR cameras, they saw a 55% drop in theft.

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Parking Garages & Tunnels: Vehicles entering a dark garage from bright sunlight create extreme contrast. A parking garage in Los Angeles installed cameras without true WDR in 2021; during sunrise, the cameras couldn’t read license plates of cars entering, leading to a spike in hit-and-run accidents. Upgrading to 120dB WDR cameras solved the issue.
- Industrial Facilities (Loading Docks & Warehouses): Loading docks have open doors (sunlight) and dimly lit storage areas (artificial light). A manufacturing plant in Detroit used basic cameras and missed a worker dropping a hazardous material in a shadowed corner—until they installed WDR cameras, which captured the incident clearly.
Part 2: Defining True Wide Dynamic Range—WDR, HDR, DOL-WDR, and the Danger of Synonyms
Walk into any security trade show, and you’ll hear a dizzying array of terms for “dynamic range expansion”: WDR, HDR, DOL-WDR, “Ultra Dynamic Range,” “Smart HDR.” Manufacturers often use these interchangeably, but they’re not the same—and confusing them can lead to costly mistakes. Let’s break down the terminology, starting with the most common:
WDR vs. HDR: Why the Confusion?
- WDR (Wide Dynamic Range): The traditional term in security, coined in the CCD sensor era. It refers to hardware or software methods that expand a camera’s dynamic range to capture detail in bright and dark areas.
- HDR (High Dynamic Range): Borrowed from photography and cinematography, where HDR involves merging multiple exposures after capture (e.g., in Photoshop) to create a balanced image. In security, “HDR” is now often used as a synonym for WDR—especially with CMOS sensors, which handle multi-exposure processing faster than CCDs.
But here’s the catch: Photography HDR is a post-processing tool, while security WDR (true WDR) is a real-time feature. A camera labeled “HDR” might be using software-only processing (dWDR) instead of hardware-based multi-exposure—so you can’t assume “HDR” means “high performance.”
DOL-WDR: The Gold Standard for Real-Time Performance
DOL-WDR (Digital Overlap Wide Dynamic Range) is a specialized hardware method pioneered by Sony for CMOS sensors—and it’s the technology we use in Hector Weyl’s premium cameras. Unlike traditional multi-frame WDR (which captures full frames at different exposures sequentially), DOL-WDR reads out lines of the sensor at different exposure levels simultaneously.
Here’s how it works: A Sony DOL-WDR sensor (like the IMX586, used in our HW-8000 series) divides each frame into horizontal lines. For each line, it captures two exposures: a short exposure (for highlights) and a long exposure (for shadows). The sensor then “overlaps” these line-level exposures and merges them in real time (via a dedicated ISP chip). This eliminates the latency of sequential frame capture and drastically reduces motion artifacts (more on that later).
For security, where real-time footage and motion clarity are critical, DOL-WDR is superior to both traditional WDR and software HDR. It’s why we exclusively use Sony DOL-WDR sensors in our cameras for high-contrast environments.
WDR vs. BLC: The “Fake WDR” That’s Still Everywhere
The most dangerous confusion is between WDR and BLC (Backlight Compensation)—a crude, 1990s-era feature that manufacturers still market as “dynamic range enhancement.” Let’s compare them side by side with a real-world example: a building entrance at noon (sunlight outside: 100,000 lux; lobby inside: 500 lux):
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Feature
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BLC (Backlight Compensation)
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True WDR (e.g., DOL-WDR)
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How it works
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Identifies a “region of interest” (usually the center of the frame) and brightens it by increasing overall exposure.
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Captures multiple exposures (line-level or frame-level) and merges them to preserve detail in all areas.
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Result for building entrance
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The center (e.g., a person in the lobby) is visible, but the windows and outside area are completely overexposed (white blob).
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The person in the lobby, the windows, and the street outside are all visible—no overexposure or underexposure.
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Use case
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Only acceptable for static scenes with no bright/dark overlap (e.g., a warehouse with no windows).
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Essential for high-contrast, dynamic scenes (entrances, ATMs, parking garages).
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We once had a client—a school district in Texas—who had installed BLC cameras at their building entrances. During a parent-teacher conference, a stranger entered the school, but the BLC camera overexposed the doorway, turning the stranger into a silhouette. The district switched to our DOL-WDR cameras, and within a month, they identified a non-custodial parent trying to enter without permission—thanks to clear facial details in the backlit doorway.
Part 3: The 120dB Mystery—From Science to Marketing Slogan
So, where did the ubiquitous “120dB” number come from? It’s not arbitrary—it’s rooted in basic physics. But like many technical terms, it’s been twisted into a marketing tool. Let’s break down the science, then explain why most “120dB” claims are misleading.
The Physics of dB: Dynamic Range as a Ratio
Dynamic range in cameras is measured as the ratio between the maximum luminance (brightest light) and minimum luminance (darkest light) a sensor can capture while retaining detail. This ratio is converted to decibels (dB) using the formula:
dB = 20 × log₁₀ (Maximum Luminance [lux] / Minimum Luminance [lux])
Let’s plug in real numbers to see how 120dB is calculated:
- Maximum luminance (direct sunlight): ~1,000,000 lux
- Minimum luminance (dark shadow, visible detail): ~1 lux
- Ratio: 1,000,000 : 1
- dB calculation: 20 × log₁₀(1,000,000) = 20 × 6 = 120dB
This 1,000,000:1 ratio is significant—it’s roughly the dynamic range of the human eye. So, a true 120dB WDR camera can theoretically see detail across the same light range as we can. That’s why 120dB became the “gold standard” label—it promises human-like vision.
The Problem with “120dB” Claims: Theoretical vs. Usable Dynamic Range
Here’s the catch: Most manufacturers calculate “120dB” using theoretical sensor limits, not real-world usable dynamic range. A sensor might have a theoretical maximum ratio of 1,000,000:1, but in practice, noise, lens limitations, and processing artifacts reduce the usable range to 80–100dB.
For example: A budget camera brand might use a sensor with a theoretical 120dB range, but pair it with a low-quality lens (which can’t handle bright light without flare) and a cheap ISP chip (which introduces noise in shadows). When tested in a real high-contrast scenario (e.g., 100,000 lux sunlight vs. 100 lux shadow), the camera only retains detail across a 90dB range—not 120dB.
We tested this ourselves in 2023: We bought 10 mid-market cameras labeled “120dB WDR” and ran them through the GA/T 1127-2013 standard (more on this later). Only 2 of the 10 cameras achieved a usable dynamic range of 110dB or higher; the rest maxed out at 85–95dB. The worst performer? A camera from a well-known brand that claimed “140dB Ultra WDR” but only hit 82dB in real testing.
Why the Myth Persists
The “120dB” myth lives on for three reasons:
- Client Expectation: Integrators and end-users have been trained to look for “120dB” on datasheets. Manufacturers fear losing sales if they list a lower number—even if it’s more accurate.
- Lack of Enforcement: There’s no global standard for testing WDR performance (though China’s GA/T 1127-2013 is a step in the right direction). Manufacturers can claim any dB number without proof.
- Technical Ignorance: Many sales reps (like the regional manager in Hong Kong) don’t understand the science behind dB calculations. They repeat the number because it’s what they’ve been told to say.
Part 4: How True WDR Is Built—From CCD Dual-Scan to Sony DOL-WDR
The evolution of WDR technology is a story of sensor innovation. To understand why Hector Weyl’s DOL-WDR cameras are superior, you need to know how WDR has evolved over the past two decades—from clunky analog systems to lightning-fast digital processing.
The Analog (CCD) Era: Dual-Scan WDR—Revolutionary, But Limited
In the 2000s, CCD (Charge-Coupled Device) sensors were the norm for security cameras. Achieving WDR with CCDs required specialized “dual-scan” sensors, which worked by reading each pixel twice:
- First read (short exposure): A fast readout to capture highlight details before the pixel’s charge “overflowed” (which causes overexposure).
- Second read (long exposure): A slower readout to capture midtones and shadows by allowing more charge to accumulate in the pixel.
The camera then merged these two reads into a single image. This was revolutionary for its time—it let CCD cameras handle contrast ratios of up to 100:1 (40dB), a big step up from basic CCDs. But it had critical flaws:
- Slow frame rates: Dual-scan took time, so cameras could only capture 15–20 frames per second (fps) instead of the standard 30fps. This caused motion blur in fast-moving scenes (e.g., a car entering a parking garage).
- High cost: Dual-scan CCDs were expensive to manufacture, so only high-end cameras had them.
- Limited dynamic range: Even the best dual-scan CCDs maxed out at ~60dB—far less than the 120dB we need today.
By the early 2010s, CMOS sensors began to replace CCDs—and they changed WDR forever.
The Digital (CMOS) Era: Two Paths to WDR—True vs. Digital
CMOS (Complementary Metal-Oxide-Semiconductor) sensors are cheaper, faster, and more flexible than CCDs. They enabled two distinct approaches to WDR: true WDR (multi-exposure) and digital WDR (dWDR).
1. Digital WDR (dWDR): The Software Shortcut
dWDR is a software-only method that uses a single frame and “stretches” the contrast to brighten shadows and darken highlights. It works like this:
- The camera captures one frame at a fixed exposure.
- Software algorithms (e.g., Histogram Equalization) analyze the frame’s brightness histogram and adjust pixel values:
- Dark pixels are brightened by increasing their signal gain.
- Bright pixels are darkened by clamping their values (capping them at a maximum brightness).
dWDR is cheap to implement—no extra hardware needed—and it’s common in budget cameras (\(50–\)150). But it’s a flawed solution:
- Noise amplification: Brightening dark pixels also amplifies sensor noise, leading to grainy footage (especially in low light).
- Lost detail: If a pixel is completely overexposed (white) or underexposed (black), software can’t “recover” detail—it can only guess. A dWDR camera might make a shadowed face visible, but it will be blurry and noisy.
- Artifacts: Over-stretching contrast creates “halos” around edges (e.g., a doorframe against sunlight) and unnatural colors (e.g., a blue sky turning gray).
We once had a client—a small retail store—who bought dWDR cameras to save money. When a shoplifter concealed a jacket in a shadowed corner, the dWDR footage showed a grainy blob; the police couldn’t identify the suspect. The store upgraded to our true WDR cameras, and six months later, they used clear footage to arrest another shoplifter.
2. True WDR (Multi-Exposure): The Hardware Solution
True WDR (also called “sensor-based WDR”) uses hardware to capture multiple frames at different exposures and merge them into a single balanced image. There are two variants:
- Frame-based true WDR: The camera captures full frames sequentially—one short exposure (for highlights), one long exposure (for shadows), and sometimes a medium exposure (for midtones). An ISP chip merges them, aligning frames to avoid ghosting. This works well for static scenes (e.g., an ATM booth) but can cause ghosting in dynamic scenes (e.g., a person walking past a window).
- Line-based true WDR (DOL-WDR): As we explained earlier, this is the gold standard. Sony’s DOL-WDR sensors read lines of the frame at different exposures simultaneously, so there’s no delay between exposures. Merging happens in real time, and motion artifacts are minimal.
Hector Weyl uses frame-based true WDR in our entry-level cameras (HW-5000 series) and DOL-WDR in our premium models (HW-8000 series). For clients in high-contrast, high-motion environments (e.g., airports, busy retail stores), DOL-WDR is non-negotiable—it delivers 30fps footage with no ghosting and a usable dynamic range of 110–120dB.
Part 5: How to Measure WDR Objectively—The GA/T 1127-2013 Standard
If “120dB” is often misleading, how do you truly evaluate WDR performance? The answer lies in China’s GA/T 1127-2013 standard—a rigorous, scientific framework for testing WDR cameras. Unlike a simple dB number, GA/T 1127-2013 evaluates nine key metrics to provide a holistic view of performance. It’s the standard we use at Hector Weyl to test our cameras—and we encourage clients to ask for GA/T 1127-2013 reports from any manufacturer.
What You Need to Run the Test
To comply with GA/T 1127-2013, you need specialized equipment:
- WDR Test Chart: A standardized chart with 18 grayscale steps (from pure black to pure white), 24 color patches (to test color accuracy), and grid patterns (to test resolution).
- Dual-Zone Light Box: A device that creates a controlled high-contrast environment—one side with bright light (70,000–100,000 lux, simulating sunlight) and the other with dark light (10–100 lux, simulating shadows).
- Standard Lens: A fixed-focal-length lens (e.g., F1.4/12.5mm) to ensure consistent results across cameras.
- Image Analysis Software: Tools like Imatest or iQlabs to measure metrics like grayscale steps and signal-to-noise ratio (SNR).
The Nine Make-or-Break Metrics
GA/T 1127-2013 scores cameras on a 100-point scale, with each metric weighted based on its importance for security. Below are the most critical ones:
- Dynamic Range (DR): The actual usable ratio of brightest to darkest detail (measured in dB). A score of 90+ means the camera can handle extreme contrast; 70 or below means it will fail in high-contrast scenarios. Our HW-8000 camera scores 95 on this metric.
- Distinguishable Gray Scale Steps: The number of grayscale steps (out of 18) the camera can clearly resolve. A good WDR camera should distinguish 15+ steps; a dWDR camera might only resolve 8–10. Our cameras consistently resolve 16–17 steps.
- Number of Distinguishable Color Patches: The number of color patches (out of 24) that retain accuracy across the contrast range. dWDR often desaturates colors in shadows; true WDR preserves them. Our HW-8000 resolves all 24 patches.
- Smear Resistance: The camera’s ability to avoid “smearing” (vertical streaks) from bright light sources (e.g., the sun through a window). A score of 85+ means minimal smearing; below 70 means streaks will obscure detail. Our DOL-WDR sensors score 92 here.
- Signal-to-Noise Ratio (SNR): The ratio of clean image signal to noise (grain) in shadows. A score of 35dB+ means low noise; below 30dB means grainy footage. Our BSI (Backside-Illuminated) CMOS sensors score 38dB in shadows.
What a Good GA/T 1127-2013 Report Looks Like
A manufacturer who uses true WDR will be happy to share their GA/T 1127-2013 report. Here’s what to look for:
- A composite score of 85+/100.
- No single metric below 75 (especially DR and grayscale steps).
- Raw test footage (not edited) showing the test chart in the dual-zone light box.
A manufacturer who refuses to share the report, or provides a report with vague numbers (“excellent,” “good”), is likely hiding poor WDR performance.
Part 6: The Trade-Offs—WDR Artifacts and How Hector Weyl Minimizes Them
True WDR is powerful, but it’s not perfect. Merging multiple exposures introduces computational challenges that can create “artifacts”—visual flaws that reduce footage quality. The mark of a high-quality WDR implementation (like ours) is how well it mitigates these artifacts. Below are the most common ones, and how we solve them:
1. Motion Ghosting: The Biggest WDR Challenge
Ghosting occurs when a moving object (e.g., a person, car) appears in different positions across the multiple exposures used in WDR. For example:
- A person walks past a window while the camera captures a short exposure (position A) and a long exposure (position B).
- When merged, the person appears as two overlapping blobs—one clear, one faint (the “ghost”).
Our Solution: We use Sony’s DOL-WDR sensors, which read lines simultaneously (not full frames sequentially). This reduces the time between exposures to <1ms—too fast for most moving objects to create ghosting. For extreme motion (e.g., a car speeding past a camera), we add a “Motion Compensated Fusion” algorithm that tracks objects across lines and aligns them before merging. In tests, our cameras have 90% less ghosting than frame-based true WDR cameras.


2. Noise in Shadows: The Cost of Brightening Dark Areas
To capture detail in shadows, WDR cameras need to brighten dark pixels—but this also amplifies sensor noise (grain). A cheap WDR camera will have grainy shadows; a high-quality one minimizes noise.
Our Solution: We use BSI (Backside-Illuminated) CMOS sensors, which have 30% more light-gathering capacity than traditional front-illuminated sensors. This means we need less gain to brighten shadows, reducing noise. We also add a “Multi-Frame Noise Reduction” algorithm that averages noise across the multiple exposures used in WDR. The result: Our cameras have SNR scores of 38dB in shadows—10dB higher than budget WDR cameras.
3. Unnatural “Cartoonish” Images: Over-Processing Gone Wrong
Some WDR cameras over-enhance contrast and sharpness to make footage “look better,” resulting in a synthetic, cartoon-like appearance. This might look good in a demo, but it distorts details (e.g., making a suspect’s face unrecognizable).
Our Solution: We tune our WDR algorithms to match human visual perception. We use a “Perceptual Contrast” algorithm that enhances contrast only where the human eye would notice it (e.g., edges of objects) and preserves natural tones in flat areas (e.g., walls, skies). We also conduct blind tests with security professionals to ensure footage looks natural—no over-processing.
4. Lens Flare and Chromatic Aberration: The Lens Problem WDR Exposes
Bright light sources (e.g., the sun, neon signs) can cause lens flare (bright spots) or chromatic aberration (purple/green fringing on edges). WDR processing can amplify these flaws, making footage unusable.
Our Solution: We pair our WDR sensors with high-quality, multi-coated lenses. Our lenses have an anti-reflective coating that reduces flare by 70% and an aspherical design that minimizes chromatic aberration. We also add a “Flare Suppression” algorithm that detects flare in the short exposure (used for highlights) and masks it before merging. A test in direct sunlight found our lenses have 85% less flare than budget lenses.
Conclusion: Beyond the 120dB Myth—Choosing a Camera That Delivers True WDR Performance
The “120dB” myth is more than a marketing trick—it’s a symptom of an industry that often prioritizes sales over clarity. For security professionals, this is unacceptable: a camera that fails in high-contrast scenarios isn’t just a bad purchase—it’s a gap in your security.
To choose the right WDR camera, stop looking at dB numbers and start asking these four questions:
- Is it true WDR (multi-exposure) or digital WDR (software-only)? Ask for details on how the camera captures and merges exposures—if it uses a single frame, it’s dWDR.
- Can you share a GA/T 1127-2013 report? Look for high scores in dynamic range, grayscale steps, and noise ratio.
- How does it handle motion? Ask for sample footage of moving objects in high-contrast scenarios—no ghosting means better performance.
- What sensor and lens does it use? Sony DOL-WDR sensors and multi-coated lenses are signs of quality.
At Hector Weyl, we don’t just build cameras—we build trust. We publish our GA/T 1127-2013 reports online (you can find them on our website), provide raw sample footage, and even let clients test our cameras in their own environments for 30 days. We do this because we know WDR isn’t a checkbox—it’s a critical tool for keeping people and assets safe.
The next time you see a camera labeled “120dB WDR,” remember the regional manager in Hong Kong. Don’t just take the number at face value. Demand proof. Demand clarity. Demand a camera that delivers on its promises—because in security, the difference between a marketing slogan and true performance could be the difference between solving an incident and missing it entirely.
Choose clarity. Choose true WDR. Choose Hector Weyl.

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The Future of Security &Surveillance: 2025 Trends Shaping a Smarter, Safer World with AI & IoT